• DocumentCode
    3643180
  • Title

    Opinion Mining and Social Networks: A Promising Match

  • Author

    Krzysztof Jedrzejewski;Mikolaj Morzy

  • Author_Institution
    Inst. of Comput. Sci., Poznan Univ. of Technol., Poznan, Poland
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    599
  • Lastpage
    604
  • Abstract
    In this paper we discuss the role and importance of social networks as preferred environments for opinion mining and sentiment analysis especially. We begin by briefly describing selected properties of social networks that are relevant with respect to opinion mining and we outline the general relationships between the two disciplines. We present the related work and provide basic definitions used in opinion mining. Then, we introduce our original method of opinion classification and we test the presented algorithm on real world datasets acquired from popular Polish social networks, reporting on the results. The results are promising and soundly support the main thesis of the paper, namely, that social networks exhibit properties that make them very suitable for opinion mining activities.
  • Keywords
    "Social network services","Accuracy","Semantics","Training","Data mining","Filtering","Dictionaries"
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
  • Print_ISBN
    978-1-61284-758-0
  • Type

    conf

  • DOI
    10.1109/ASONAM.2011.123
  • Filename
    5992643